Blog · AI & Automation

AI automation platforms compared: Zapier, Make, n8n or custom

Platform or standalone tool? The distinction that gets overlooked

Zapier, Make and n8n are often mentioned in the same breath as "automation tools", but at scale they function fundamentally differently. With one or two connections, it makes no difference. Once you're running ten or more processes that depend on each other — an order that touches your accounting, your inventory and your customer communication at once — the platform you build on becomes your orchestration layer. That's a different decision than "which tool connects form X to spreadsheet Y".

Also see my overview of individual AI automation tools if you're still looking for which specific tool fits which task — this article is about the layer above that.

Zapier vs Make vs n8n: architecture, not features

On feature lists, these three platforms look very similar: triggers, actions, filters, AI modules. The real difference is in the architecture behind them. Zapier is built as standalone "zaps" — each automation is fairly isolated, which makes it easy to start but hard to keep an overview of once you have 30 running. Make thinks in scenarios with shared data stores and a central view, which keeps more complex, interconnected workflows manageable. n8n goes a step further: because it's self-hostable and allows full code nodes, you can have it work directly with your own database, internal APIs and custom logic — something Zapier and Make hit a wall on by design.

For simple, standalone automations this barely matters. For a business that treats automation as the backbone of multiple processes, this architecture decision determines how much you can build over the coming years without hitting a wall.

What vendor lock-in actually means (and why it only hurts in year two)

Vendor lock-in with automation platforms doesn't feel like a risk at first — you pay a monthly fee and it works. The problem shows up when: (1) the platform raises its prices and you have no realistic alternative without rebuilding everything, (2) an integration you rely on gets discontinued or moved behind a pricier plan, or (3) your logic is so spread across hundreds of individual "zaps" or "scenarios" that no one has the full picture anymore.

With Zapier and Make, you're fully dependent on their roadmap and pricing policy. With n8n self-hosted, you don't have that dependency — the code runs on your own infrastructure, and even if the company behind n8n disappeared, your workflow keeps running. That's not just theoretical: I have clients who specifically chose n8n after a competing platform doubled its prices in a year.

Cost at scale: the calculation nobody does upfront

At 100 tasks per month, Zapier, Make and n8n all feel affordable. The difference shows up as you grow. Run this example: an SMB with 5,000 automated tasks per month (think order processing, customer emails and inventory updates combined).

Platform	Estimated at 5,000 tasks/month	Cost trajectory as you grow
Zapier	€300 – €600/month	Rises fast and linearly — most expensive at scale
Make	€100 – €250/month	Rises more moderately, but operation counting adds up with complex scenarios
n8n (self-hosted)	€20 – €50/month server costs	Nearly flat — costs sit in maintenance, not volume
Custom software	One-off build cost, no task limit	Flat after delivery; investment pays back at high volume

When a platform stops being enough and custom makes more sense

Automation platforms are built to be generic so they fit everywhere. That's their strength and their limit. Once your workflow contains business-specific logic that doesn't fit a standard step — a price calculation with ten variables, or an approval flow that differs per customer — you start building "workarounds" inside a platform that wasn't designed for it. At that point, custom software is often not more expensive but cheaper in the long run, because you stop fighting the constraints of a generic tool. That's exactly what happened at VYBR!S: standalone automation tools worked fine until the platform needed to scale to multiple clients with their own rules — that's when custom became the logical step.

Integration depth: where platforms hit their limits

All three platforms claim hundreds or thousands of integrations. The difference is in the depth of those integrations. An "integration" can mean full API access to every endpoint, or a limited set of pre-built actions the vendor decided to support. With Zapier and Make, you often hit that ceiling with less popular or in-house systems — you can't do more than what the vendor has built in. n8n's HTTP request node and code node solve that: you can always hit the full API yourself, even when no ready-made integration exists.

For businesses with mostly standard connections (Gmail, Slack, Sheets, Stripe), this makes little difference. For businesses with their own software, an industry-specific system, or an AI agent that needs to run within specific guardrails, that full access is often the deciding factor.

Decision tree: platform, hybrid, or custom?

• Simple, standalone tasks, low volume → Zapier is enough, no reason to switch.
• Multiple connected processes, average volume → Make, with an eye on growing toward n8n.
• High volume or complex logic, technical team available → n8n self-hosted, possibly hybrid with custom modules.
• Business-specific logic that doesn't fit a platform, or multiple clients/users with their own rules → custom software, possibly with a platform alongside for simple tasks.

What you get with ultimAItech

I have no stake in which platform you choose — I don't sell Zapier subscriptions. What I do: honestly assess your current (or desired) workflow on volume, growth and complexity, and give you the right answer, even when that's "stick with your current tool, this isn't the moment to switch."

• Architecture advice — platform, hybrid or custom, based on your volume and growth plans
• Migration without downtime — if switching is the right call, I build the replacement alongside the existing workflow
• n8n implementation and self-hosting — including security and updates, so you don't need to manage a server yourself
• Custom code where platforms hit their limits — the step many agencies skip because they only sell platforms
• Fixed price per phase — no open-ended project where the bill grows with your indecision

Curious how this connects to AI agents rather than simple workflows? Read my comparison of AI agent platforms.

Frequently asked questions

What's the biggest difference between Zapier, Make and n8n?

It's architecture, not features: Zapier isolates automations per "zap", Make works with connected scenarios, and n8n is self-hostable with full code access. That determines how well each platform scales with complexity and volume.

What is vendor lock-in and why should I care?

Vendor lock-in means you become so dependent on one platform's pricing, integrations or availability that switching becomes costly or impossible. It mostly bites when a platform raises its prices or discontinues an integration you rely on.

When does custom software become cheaper than an automation platform?

Usually at high volume combined with business-specific logic that isn't standard. The one-off build cost of custom software then outweighs the rising monthly fees and the time lost to workarounds inside a platform.

Can I combine a platform with custom software?

Yes, that's the best middle ground for many SMBs: simple, generic tasks on a platform like Make or n8n, and custom code for the part of your process that's genuinely business-specific.

Is self-hosting n8n hard?

It requires basic server management knowledge, or someone who handles that for you. Once set up, maintenance is limited — keeping an eye on updates, backups and security. I set this up regularly and either hand it over or manage it monthly.

Conclusion

"Which platform" is usually the wrong question. The right question is: how will my volume grow, how business-specific is my logic, and who maintains this in two years? Answer those three honestly and the platform choice usually follows on its own. For most SMBs, that's not a dramatic decision at all — for a growing number, it's the difference between a system that scales with you and one you'll have to rebuild entirely a year from now.

Want to know where your business stands on this scale? Book a free call or send a WhatsApp message. I'm happy to run the numbers with you, including cost at scale.